مطالب

Purpose: The aim of this study was to explain the effectiveness of the model of established methods in autism (functional behavior analysis of ABA, Snowlen, and Dosa) based on the level of attention in children with autism spectrum disorder in Tehran. Methodology: The research method was quasi-experimental with a pretest-posttest design with a control group. The statistical population of this study was all children with autism spectrum disorder in Tehran in public and private educational and rehabilitation centers in 2018. By available sampling method, 48 people were selected and randomly divided into 4 intervention groups by applied behavior analysis method. , Snozelen, dosa and control group were divided. Data were collected based on the Connors Scale Scale (Parent Form) (1999), a modified review checklist, and the Wechsler intelligence test. Descriptive and inferential statistical methods and multivariate analysis of covariance were used to eliminate the pretest effect using SPSS software was used. Findings: The results showed that all three methods of functional behavior analysis of ABA, Snozlen and Dosa had a significant effect on increasing attention compared to the control group. Also, ABA applied behavior analysis method had a greater effect on improving attention in the three measurement stages than the other two experimental groups. Conclusion: The findings of the study showed that the use of these interventions and educational programs as a method in improving and rehabilitating children with this disorder is useful, so the use of this method is recommended. The results showed that the difference between the analysis of functional behavior of ABA, Snozlen and Dosa with the control group was significant at the level of 0.05, so it can be said that all three methods of functional behavior analysis of ABA, Snozlen and Dosa compared to the control group had a significant effect on increasing attention.

Purpose: This study was carried out with the aim of strategic tourism planning in Semnan with emphasis on MICE tourism using Meta SWOT and SOAR techniques. Methodology: The descriptive-analytical method is used in order to conduct this research. The statistical population of the study is divided into three parts. The first part were local residents of Semnan, the second part includes tourists who have considered Semnan as a tourist destination from 2019 to 2020, and third part includes academic elites, managers, staff of tourism part working in different management levels of province. Three-hundred seventy people (three parts) were determined as the statistical sample size using Cochran formula. The method of data collection and analysis of required information is documentary and survey. Meta SWOT and SOAR analytical techniques have been used to formulate the development strategy and explain the goals, resources, capabilities and macro-environmental factors. Findings: According to the obtained results, the most important factors in line with strategic tourism planning in Semnan are government policies, non-responsiveness of infrastructure, increased natural dangers and inflation and economic recession at the macro level. Conclusion: Meta SWOT model is implemented in a program consisting of title window and seven interconnected windows. This tool enables unlimited reviews of inputs, because decision makers change their assessment during a planning activity.

The purpose of this paper is to explore the impact of industry competitive intensity on brand performance that marketing capabilities and market-focused learning and organizational innovation have the mediator role. Survey of top firms of Tehran Stock Exchange for the last 4 years is explored. We used questionnaire for gathering data and 77 firms of 92 responded to the questionnaire . In order to test the validity of the questionnaire Dillon - Goldstein (cρ =0/70) coefficient used. AVE was used to assess the validity of indicators that show the validity of the questionnaire have been favorable .This study analyzed the data in two levels of descriptive and inferential statistics using Smart PLS ,Spss18, Excel2007. To calculate the significant path coefficient and to gain the test statistic T we used Astrab boot ( via insertion of the sampling method ). The results show that industry competitive intensity has a positive and significant effect on brand performance and all hypotheses were confirmed . The mediation effect of marketing capabilities and market-focused learning and organizational innovation was approved too.